【1】Chenkai Su, Yuxiang Zhou, Jinlian Ma, Haoyu Chi, Xin Jing, Junyan Jiao and Qiqi Yan.JANet: A joint attention network for balancing accuracy and speed in left ventricular ultrasound video segmentation. Computers in Biology and Medicine, 169,2024.

【2】Jinlian Ma, Dexing Kong, Fa Wu, Lingyun Bao, Jing Yuan and Yusheng Liu.Densely connected convolutional networks for ultrasound image based lesion segmentation. Computers in Biology and Medicine, 168,2024.

【3】Chenkai Su, Jinlian Ma, Yuxiang Zhou, Panpan Li and Zijun Tang.Res-DUnet: A small-region attentioned model for cardiac MRI-based right ventricular segmentationApplied Soft Computing,2023.

【4】Qiong Lou, Yingying Li, Yaguan Qian, Fang Lu and Jinlian Ma.Mammogram classification based on a novel convolutional neural network with efficient channel attentionComputers in Biology and Medicine,2022.

【5】Jinlian Ma and Dexing Kong.Deep Learning Models for Segmentation of Lesion Based on Ultrasound ImagesAdvances in Ultrasound Diagnosis and Therapy,2018.

【6】Jinlian Ma, Lingyun Bao, Qiong Lou and Dexing Kong.Transfer learning for automatic joint segmentation of thyroid and breast lesions from ultrasound images. International Journal of Computer Assisted Radiology and Surgery, 17:363-372,2022.

【7】Donghui Tang, Shuang Tao, Jinlian Ma, Peijun Hu, Dan Long, Jun Wang and Dexing Kong.The effect of short cardio on inhibitory control ability of obese peopleInternational Journal of Imaging Systems & Technology,2017.

【8】Tiepei Zhu, Jinlian Ma, Jinyu Li, Xizhe Dai, Panpan Ye, Zhaoan Su, Dexing Kong and Juan Ye.Multifractal and Lacunarity Analyses of Microvascular Morphology in Eyes with Diabetic Retinopathy: A Projection Artifact Resolved Optical Coherence Tomography Angiography StudyMICROCIRCULATION,2018.

【9】Jinlian Ma, Fa Wu, Tian'an Jiang, Jiang Zhu and Dexing Kong.Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound imagesMedical Physics,2017.

【10】Jinlian Ma, Fa Wu, Jiang Zhu, Dong Xu and Dexing Kong.A pre-trained convolutional neural network based method for thyroid nodule diagnosisULTRASONICS,2016.

【11】Jinlian Ma, Fa Wu, Tian'an Jiang, Qiyu Zhao and Dexing Kong.Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networksInternational Journal of Computer Assisted Radiology and Surgery,2017.